27 citations · 70 across the 12 of their papers we have counts for
13 papers
Benchmarking CLIP for Zero-Shot Face and Periocular Gender Estimation
Fernando Alonso-Fernandez, Kevin Hernandez-Diaz, Jose Maria Buades +1
We investigate CLIP for zero-shot gender estimation from full-face and periocular images. Three CLIP backbones are evaluated on 11,299 frontal images from Adience using image-text…
Periocular Soft Biometrics: A Survey and Applications to Multimedia Forensics and Disinformation Detection
Fernando Alonso-Fernandez, Kevin Hernandez-Diaz, Josef Bigun
Soft-biometric attributes such as gender, age, and ethnicity provide valuable ancillary evidence when full identity recognition is not feasible, supporting applications in forensic…
Combined CNN and ViT features off-the-shelf: Another astounding baseline for recognition
Fernando Alonso-Fernandez, Kevin Hernandez-Diaz, Prayag Tiwari +1
We apply pre-trained architectures, originally developed for the ImageNet Large Scale Visual Recognition Challenge, for periocular recognition. These architectures have demonstrate…
Log-Likelihood Score Level Fusion for Improved Cross-Sensor Smartphone Periocular Recognition
Fernando Alonso-Fernandez, Kiran B. Raja, Christoph Busch +1
The proliferation of cameras and personal devices results in a wide variability of imaging conditions, producing large intra-class variations and a significant performance drop whe…
EFaR 2023: Efficient Face Recognition Competition
Jan Niklas Kolf, Fadi Boutros, Jurek Elliesen +24
This paper presents the summary of the Efficient Face Recognition Competition (EFaR) held at the 2023 International Joint Conference on Biometrics (IJCB 2023). The competition rece…
Periocular biometrics: databases, algorithms and directions
Fernando Alonso-Fernandez, Josef Bigun
Periocular biometrics has been established as an independent modality due to concerns on the performance of iris or face systems in uncontrolled conditions. Periocular refers to th…
An Explainable Model-Agnostic Algorithm for CNN-based Biometrics Verification
Fernando Alonso-Fernandez, Kevin Hernandez-Diaz, Jose M. Buades +2
This paper describes an adaptation of the Local Interpretable Model-Agnostic Explanations (LIME) AI method to operate under a biometric verification setting. LIME was initially pro…
One-Shot Learning for Periocular Recognition: Exploring the Effect of Domain Adaptation and Data Bias on Deep Representations
Kevin Hernandez-Diaz, Fernando Alonso-Fernandez, Josef Bigun
One weakness of machine-learning algorithms is the need to train the models for a new task. This presents a specific challenge for biometric recognition due to the dynamic nature o…
Periocular Biometrics: A Modality for Unconstrained Scenarios
Fernando Alonso-Fernandez, Josef Bigun, Julian Fierrez +3
Periocular refers to the externally visible region of the face that surrounds the eye socket. This feature-rich area can provide accurate identification in unconstrained or uncoope…
A Survey of Super-Resolution in Iris Biometrics with Evaluation of Dictionary-Learning
F. Alonso-Fernandez, R. A. Farrugia, J. Bigun +2
The lack of resolution has a negative impact on the performance of image-based biometrics. While many generic super-resolution methods have been proposed to restore low-resolution…
Writer Recognition Using Off-line Handwritten Single Block Characters
Adrian Leo Hagström, Rustam Stanikzai, Josef Bigun +1
Block characters are often used when filling paper forms for a variety of purposes. We investigate if there is biometric information contained within individual digits of handwritt…
Writer Identification Using Microblogging Texts for Social Media Forensics
Fernando Alonso-Fernandez, Nicole Mariah Sharon Belvisi, Kevin Hernandez-Diaz +2
Establishing authorship of online texts is fundamental to combat cybercrimes. Unfortunately, text length is limited on some platforms, making the challenge harder. We aim at identi…
Total Least Square Optimal Analytic Signal by Structure Tensor for N-D images
Josef Bigun, Fernando Alonso-Fernandez
We produce the analytic signal by using the Structure Tensor, which provides Total Least Squares optimal vectors for estimating orientation and scale locally. Together, these vecto…